Remove administrative arrondissements from Belgian addresses

[nominatim.git] / data-sources / us-tiger / README.md

diff --git a/data-sources/us-tiger/README.md b/data-sources/us-tiger/README.md
index e75a9efa61386bdf011cd8158c6ed97c11062cfd..5217f641ec363d761f2f5265c87f08cba4e45f87 100644 (file)
--- a/data-sources/us-tiger/README.md
+++ b/data-sources/us-tiger/README.md
@@ -2,16 +2,14 @@
 
 Convert [TIGER](https://www.census.gov/geo/maps-data/data/tiger.html)/Line dataset of the US Census Bureau to SQL files which can be imported by Nominatim. The created tables in the Nominatim database are separate from OpenStreetMap tables and get queried at search time separately.
 
-The dataset gets updated once per year. Downloading is prown to be slow (can take a full day) and converting them can take hours as well.
+The dataset gets updated once per year. Downloading is prone to be slow (can take a full day) and converting them can take hours as well.
 
 Replace '2018' with the current year throughout.
 
   1. Install the GDAL library and python bindings and the unzip tool
 
         # Ubuntu:
-        sudo apt-get install python-gdal unzip
-        # CentOS:
-        sudo yum install gdal-python unzip
+        sudo apt-get install python3-gdal unzip
 
   2. Get the TIGER 2018 data. You will need the EDGES files
      (3,233 zip files, 11GB total).
@@ -22,8 +20,7 @@ Replace '2018' with the current year throughout.
 
         cd data-sources/us-tiger
         ./convert.sh <input-path> <output-path>
-        
+
   4. Maybe: package the created files
-  
+
         tar -czf tiger2018-nominatim-preprocessed.tar.gz tiger
-        
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